Персона: Каминский, Владимир Ильич
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Владимир Ильич
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- ПубликацияОткрытый доступPerformance Indicators Analysis of Universities Participating in the Priority 2030 Program Research Track Анализ показателеи эффективности университетов – участников исследовательского трека программы "Приоритет-2030"(2024) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системамиThe article presents the results of performance indicators analysis of groups of universities participating in ў??Leadership in Researchў?? track (hereinafter referred to as the research track) of the strategic academic leadership program Priority 2030. To solve this problem, the displaced ideal method was used, which allows to compare the aggregated performance indicators of three groups of universities. The comparative analysis of the special part performance indicators was carried out and also included aggregated indicators of basic and special parts in 2022. To assess the dynamics of universitiesў?? activities in 2020ў??2022, aggregated indicators of the special part were analyzed. The research showed that special part performance indicators achieved by universities participating in the Program correspond quite well with the results of the general assessment, accepted by the Council at the end of 2023. It was found that the achievement of performance indicators for universities in implementing their development programs had a significant impact on the positions of participants in the research track and enabled the rotation mechanism to be launched in full power for the first time since the beginning of the Program. As a result, 30% of universities in the research track changed their groups
- ПубликацияТолько метаданныеNational research and federal universities contribution to the project 5-100(2020) Berestov, A. V.; Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Sadchikov, S. M.; Берестов, Александр Васильевич; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Садчиков, Сергей Михайлович; Факультет бизнес-информатики и управления комплексными системами© 2020 Moscow Polytechnic University. All rights reserved.This article presents research results of national research universities (NRU) and federal universities (FU) contribution to the Project of competitiveness enhancement of the leading Russian universities among global research and education centers (Project 5-100). The following indicators were analyzed: publications, indexed in Web of Science and Scopus databases, share of international students and faculty, share of young employees and staff with PhD, performance in international rankings, etc. The analysis was based on 41 quantitative and 11 qualitative indicators. In the analysis the following data sources were used: statistical forms 1-Monitoring, rankings agencies data, etc. It has been determined that the most influence on the Russian education competitiveness enhancement in the world belongs to the leading NRU - participants of Project 5-100. The article analyzes the contribution of federal universities in the implementation of the Project 5-100.
- ПубликацияТолько метаданныеProject "National Research University" – Driver of russian higher education Проект "национальныи исследовательскии университет" – драивер россииского высшего образования(2020) Berestov, A. V.; Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Sadchikov, S. M.; Берестов, Александр Васильевич; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Садчиков, Сергей Михайлович; Факультет бизнес-информатики и управления комплексными системами© 2020 Moscow Polytechnic University. All rights reserved.The article presents the results of the national research universities (NRU) development programs implementation analysis for the period 2008–2018. The authors have held a comparative analysis of NRU activities with other strategic initiatives in the field of higher education in Russia, in particular, Russian Academic Excellence Project 5-100 on Competitiveness Enhancement of the Leading Russian Universities among Global Research and Education Centers; Project «Federal Universities»; support for strategic development programs of state educational institutions of higher education; sustainable relationships support between higher educational institutions and regional enterprises and organizations within the framework of the priority project “Universities as Innovation Drivers”. The analysis was based on 41 quantitative and 11 qualitative indicators. In the analysis, the following data sources were used: statistical forms 1-Monitoring, data from ranking agencies, etc. It has been determined that implementation of development programs for the entire NRU network is generally successful and positively affects the development of Russian higher education. The leading NRU – the participants of Project 5-100 have shown the greater impact on the enhancement of the Russian education in the world.
- ПубликацияТолько метаданныеFlagship universities as development potential of regions and industries(2020) Berestov, A. V.; Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Sadchikov, S. M.; Берестов, Александр Васильевич; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Садчиков, Сергей Михайлович; Факультет бизнес-информатики и управления комплексными системами© 2020 Moscow Polytechnic University. All rights reserved.This article presents the research results of flagship universities activities, which support social and economic development of the Russian Federation regions, including the creation of innovation, technological and social region development centers. The research covers the period from 2015 to 2018. The following core areas of flagship universities were analyzed: educational, research, integration with regions and high-tech industries, international activities. Essential aspects of financial and economic activity and employment policy were considered. The analysis was based on 41 quantitative and 11 qualitative indicators, among which 8 indicators were prioritized. In the analysis the following data sources were used: statistical forms 1-Monitoring, rankings agencies data, etc. The effectiveness of flagship universities was studied. Problems and positive tendencies in flagship universities development were determined and analyzed.
- ПубликацияТолько метаданныеAnalysis of Performance of University Groups Belonging to "Leadership in the Region and/or Industry" Track of "Priority 2030" Program [Анализ деятельности групп университетов трека "Территориальное и отраслевое лидерство" программы "Приоритет-2030"](2022) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системамиThis article presents the comprehensive study results of the performance of universities which are the winners of the “Leadership in the region and/or industry” track of the “Priority 2030” program. The research included a comparison of the results of 3 groups of universities of this track, determined by the results of the competition. The participation of these groups of universities in the main strategic initiatives in the field of the higher education system development in 2006–2020 is considered; indicators for the main areas of university activities were selected and grouped, namely, educational, scientific and innovation, international and financial. The comparative analysis of aggregate indicators of recent years is based on the Displaced Ideal Method. This made it possible not only to determine the current positions of universities belonging to the examined track, but also to identify a number of problems in their activities that need to be solved in the coming years to strengthen their contribution to the socio-economic development of the regions. The results of the comprehensive analysis can be used not only by the current participants of the “Leadership in the region and/or industry” track of the “Priority 2030” program, but also by universities that only plan to take part in this program in the near future and the expert community engaged in research in the field of higher education development in Russia. © 2022 Moscow Polytechnic University. All rights reserved.
- ПубликацияТолько метаданныеResearch Leadership of the "Priority 2030" Program: Success Factors Исследовательское лидерство программы "Приоритет-2030": факторы успеха(2022) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системами© 2022 Moscow Polytechnic University. All rights reserved.The article presents the results of comparative analysis of universities’ activities over the past five years, which won the special grant in the “Research Leadership” track of the “Priority 2030” program. The comparison is carried out between the following groups of universities: 1) all universities of the “Research Leadership” track, 2) the first, second and third groups, selected according to the results of the competition, and 3) group of Project 5-100 participants. The state strategic initiatives in the field of the higher education system over the past 15 years were considered to determine their impact on the development of the considered groups of universities; the indicators that make significant contribution to the results of educational, research, international and financial activities of universities were selected. The aggregation of indicators for university groups has been carried out using the Displaced Ideal method and the comparative analysis for 2016 – 2020. The significant indicators of scientific and research activities of analyzed groups of universities for 2018 – 2020 were considered. Based on the analysis, the most significant factors of success have been identified that ensured the victory of the considered universities in the Priority 2030 competition on the “Research Leadership” track.
- ПубликацияТолько метаданныеKey performance indicators of Russian universities for 2015–2018: Dataset and Benchmarking Data(2022) Guseva, A. I.; Kalashnik, V. M.; Kaminskii, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системами© 2021This article presents a performance dataset of 93 Russian universities, collected from 2015 to 2018 and evaluated according to 24 indicators. These data were gathered from materials, published in the process of monitoring the effectiveness of higher education institutions by the Ministry of Science and Higher Education of the Russian Federation, Web of Science (citation-based research analytics tool InCites) and Scopus (citation-based research analytics tool SciVal) databases, and information from international ranking agencies QS, THE, ARWU. The dataset comprises the assessments of university performances according to the most important indicators used in socio-economic studies of comparative analysis of higher education system development levels in different countries: educational, scientific and research, international, financial and economic performance and international public recognition (university positions in leading international rankings). Evaluated universities are grouped pursuant to their missions: Federal Universities (FU), National Research Universities (NRU), Flagship Universities (FlU) and university-participants of the Russian Academic Excellence Project (Project 5-100). The indicators for the comparative analysis are aggregated by the type of activities and analyzed based on the calculation of median values and Displaced Ideal Method. The dataset can be helpful to researchers, university administration, specialists of higher education system, etc. Data processing can be executed using data mining methods, machine learning, and pattern analysis for the development of intellectual structures, applicable for university performance assessment in different educational systems. Presented data allows us to assert that the implementation of targeted support for leading Russian universities has a positive impact on the development of Russian higher education increasing its role on the international academic arena. Leading national research university-participants of the Project 5-100 had the greatest influence on increasing the competitiveness of Russian education in the world.
- ПубликацияОткрытый доступFirst Successes and Failures of Universities Participating in "Leadership in the Region and/or Industry" Track of the "Priority 2030" Program Первые успехи и неудачи университетов - участников трека "Территориальное и отраслевое лидерство" программы "Приоритет-2030"(2023) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системамиThe article presents the results of quantitative indicators analysis of the main activities of three groups of universities participating in the “Priority 2030” program of the “Leadership in the region and/or industry” track (hereinafter referred to as the territorial and industrial track) during the first year of their development programs implementation. The Displaced Ideal Method was used in the research. Dynamics of indicators series of special and basic parts has being analyzed for universities groups in 2017-2021. The strengths and weaknesses of the universities groups of the territorial and industrial track are revealed. It was established that the special indicators values achieved by universities during the first year had a significant impact on the assessment of the Council for universities development programs support in frame of Priority-2030 Project, which taking into account the performances of the universities teams led to significant changes in the groups composition of the studied track – more than half of universities changed their positions. A number of reasons were considered that led to a change in universities’ positions in the groups of the researched track.
- ПубликацияОткрытый доступThe First Year of the Priority 2030 Program Implementation: Positive Results and Problem Areas of Research Track Universities Первыи год реализации программы "Приоритет-2030": позитивные результаты и проблемные направления университетов исследовательского трека(2023) Guseva, A. I.; Kalashnik, V. M.; Kaminsky, V. I.; Kireev, S. V.; Гусева, Анна Ивановна; Калашник, Вячеслав Михайлович; Каминский, Владимир Ильич; Киреев, Сергей Васильевич; Факультет бизнес-информатики и управления комплексными системамиThe article considers the results of the main activities of universities – participants’ groups of the Priority 2030 program of the В«Leadership in ResearchВ» track (hereinafter referred to as the research track) at the initial stage of its implementation. An analysis of performance indicators’ dynamics for groups of universities in the period preceding the implementation of the program (2017–2020) and the first year of its implementation (2021) was carried out. Special attention is given to the analysis of the activities of universities that are leaders in the research track. As part of the comprehensive analysis, positive results were identified, as well as some problem areas in the activities of universities. An analysis of the basic indicators shows that the researched groups of universities in a number of indicators have a relatively small difference in the achieved values, while the indicators of the special part revealed an unconditional group of leaders.